def test_get_asset_field_headers():
    client = AssetServiceClient(
        credentials=ga_credentials.AnonymousCredentials(),
    )

    # Any value that is part of the HTTP/1.1 URI should be sent as
    # a field header. Set these to a non-empty value.
    request = asset_service.GetAssetRequest()

    request.resource_name = 'resource_name/value'

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(
            type(client.transport.get_asset),
            '__call__') as call:
        call.return_value = asset.Asset()
        client.get_asset(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]
        assert args[0] == request

    # Establish that the field header was sent.
    _, _, kw = call.mock_calls[0]
    assert (
        'x-goog-request-params',
        'resource_name=resource_name/value',
    ) in kw['metadata']
def test_get_asset_flattened_error():
    client = AssetServiceClient(
        credentials=ga_credentials.AnonymousCredentials(),
    )

    # Attempting to call a method with both a request object and flattened
    # fields is an error.
    with pytest.raises(ValueError):
        client.get_asset(
            asset_service.GetAssetRequest(),
            resource_name='resource_name_value',
        )
def test_get_asset(transport: str = 'grpc', request_type=asset_service.GetAssetRequest):
    client = AssetServiceClient(
        credentials=ga_credentials.AnonymousCredentials(),
        transport=transport,
    )

    # Everything is optional in proto3 as far as the runtime is concerned,
    # and we are mocking out the actual API, so just send an empty request.
    request = request_type()

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(
            type(client.transport.get_asset),
            '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = asset.Asset(
            resource_name='resource_name_value',
            type_=asset_type.AssetTypeEnum.AssetType.UNKNOWN,
            youtube_video_asset=asset_types.YoutubeVideoAsset(youtube_video_id=wrappers_pb2.StringValue(value='value_value')),
        )
        response = client.get_asset(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]
        assert args[0] == asset_service.GetAssetRequest()

    # Establish that the response is the type that we expect.
    assert isinstance(response, asset.Asset)
    assert response.resource_name == 'resource_name_value'
    assert response.type_ == asset_type.AssetTypeEnum.AssetType.UNKNOWN
def test_get_asset_flattened():
    client = AssetServiceClient(
        credentials=ga_credentials.AnonymousCredentials(),
    )

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(
            type(client.transport.get_asset),
            '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = asset.Asset()
        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        client.get_asset(
            resource_name='resource_name_value',
        )

        # Establish that the underlying call was made with the expected
        # request object values.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]
        assert args[0].resource_name == 'resource_name_value'